APAC AI Engineering Lead

ICAP

Santo Niño 1st

On-site

PHP 11,811,000 - 20,669,000

Full time

14 days+

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Job summary

TP ICAP in Singapore is seeking an APAC AI Lead Engineer – Global Broking to drive AI-enabled productivity for Global Broking desks across APAC. You will partner with brokers, desk heads and business managers to identify high-value opportunities and deliver practical AI solutions that automate workflows and accelerate decision-making.

This role reports to APAC Global Broking leadership with a secondary line to the Global AI Lab, ensuring alignment with architecture, security, risk and governance

Qualifications

  • Proven experience in software engineering, AI engineering, automation, data engineering or technology delivery within financial services or another regulated environment.
  • Strong practical experience designing and delivering solutions using large language models, AI agents, workflow automation, RAG / knowledge retrieval and API-based integrations.
  • Demonstrated ability to work directly with front-office or business users, translating commercial requirements into pragmatic technology solutions.
  • Strong understanding of technology governance, architecture review, security-by-design, testing, production deployment and operational support requirements.
  • Experience with Python, APIs, cloud platforms, source control, CI/CD and structured documentation.
  • Experience with AWS Bedrock, AWS Quick, Microsoft Copilot / M365 integration, Power Platform, Teams, SharePoint, data extraction tools or workflow automation platforms would be advantageous.
  • Knowledge of interdealer broking, capital markets, wholesale financial markets would be advantageous.
  • Excellent written and verbal communication skills, with the ability to engage senior business stakeholders and technical teams.

Responsibilities

  • Partner with APAC brokers, desk heads and business managers to identify high-value productivity, automation and workflow improvement opportunities.
  • Develop a deep understanding of front-office workflows, desk-specific pain points, information flows and repetitive manual processes.
  • Translate business requirements into practical AI, automation and workflow solutions that can be tested, governed and scaled.
  • Maintain a prioritised APAC AI opportunity pipeline, including expected benefits, delivery status, dependencies and business ownership.
  • Design, prototype and deliver AI-enabled tools, agents, applications and workflow automations using approved TP ICAP platforms and development standards.
  • Develop solutions across: broker preparation, market colour aggregation, document automation, research support, data extraction, workflow orchestration and cross-system information retrieval.
  • Apply engineering discipline: architecture, code management, documentation, testing, operational support, production-readiness controls & risk management.
  • Lead the delivery of APAC AI use cases from discovery to production deployment and desk adoption.

Skills

Software engineering
AI engineering
Automation
Data engineering
Technology delivery
LLM design
AI agents
Workflow automation
RAG knowledge retrieval
API integrations
Stakeholder engagement
Governance & security
Python
APIs
Cloud platforms
CI/CD
Documentation
AWS Bedrock
AWS Quick
Power Platform
Team collaboration (Teams/SharePoint)
Capital markets knowledge
Communication

Education

N/A

Tools

AWS Bedrock
AWS Quick
Microsoft Copilot / M365
Power Platform
Teams
SharePoint
Data extraction tools
Workflow automation platforms

Job description

TP ICAP in Singapore is seeking an APAC AI Lead Engineer – Global Broking to drive AI-enabled productivity for Global Broking desks across APAC. You will partner with brokers, desk heads and business managers to identify high-value opportunities and deliver practical AI solutions that automate workflows and accelerate decision-making.

This role reports to APAC Global Broking leadership with a secondary line to the Global AI Lab, ensuring alignment with architecture, security, risk and governance

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